Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units

Muhammad Abdullah Sarwar, Robertas Damaševičius, Eglė Belousovienė, Rytis Maskeliūnas

Open source

DOI
10.1016/j.artmed.2026.103409
Published
2026-06
Container
Artificial Intelligence in Medicine
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.artmed.2026.103409,
  title = {Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units},
  author = {Muhammad Abdullah Sarwar and Robertas Damaševičius and Eglė Belousovienė and Rytis Maskeliūnas},
  year = {2026},
  journal = {Artificial Intelligence in Medicine},
  doi = {10.1016/j.artmed.2026.103409},
  url = {https://doi.org/10.1016/j.artmed.2026.103409}
}

RIS

TY  - JOUR
TI  - Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units
AU  - Muhammad Abdullah Sarwar
AU  - Robertas Damaševičius
AU  - Eglė Belousovienė
AU  - Rytis Maskeliūnas
PY  - 2026
JO  - Artificial Intelligence in Medicine
DO  - 10.1016/j.artmed.2026.103409
UR  - https://doi.org/10.1016/j.artmed.2026.103409
ER  - 

APA

Sarwar, M. A., Damaševičius, R., Belousovienė, E., & Maskeliūnas, R. (2026). Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2026.103409

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